Abstract

Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.

abstract = "Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.",

N2 - Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.

AB - Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.